{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline --no-import-all"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "exotxt ViscoplasticNeedlemanFullyPrescribedTension_WithFlaw.h ViscoplasticNeedlemanFullyPrescribedTension_WithFlaw.txt\n",
      "sed 's/-308/E-308/g' ViscoplasticNeedlemanFullyPrescribedTension_WithFlaw.txt > temp;"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "                           *** exotxt Version 1.22 ***\n",
        "                               Revised 2012/11/07                      \n",
        "\n",
        "                    EXODUSII DATABASE TO TEXT FILE TRANSLATOR\n",
        "\n",
        "                          Run on 2013-09-23 at 15:37:08\n",
        "\n",
        "               ==== Email gdsjaar@sandia.gov for support ====\n",
        "\n",
        "\n",
        " DATABASE INITIAL VARIABLES\n",
        "\n",
        " Peridigm\n",
        "\n",
        " Number of coordinates per node         =         3\n",
        " Number of nodes                        =         1\n",
        " Number of elements                     =         1\n",
        " Number of element blocks               =         1\n",
        "\n",
        " Number of node sets                    =         0\n",
        " Number of side sets                    =         0\n",
        "\n",
        " Number of global variables             =         2\n",
        " Number of variables at each node       =         0\n",
        " Number of variables at each element    =         0\n",
        "\n",
        "\n",
        "      201 time steps on the input database\n",
        "       1 time steps processed\n",
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        "\n",
        "    201 time steps have been written to the text file\n",
        "\n",
        " exotxt used 0.02 seconds of CPU time\n"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "run exoplot.py temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "var_names"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "array(['MAX_VON_MISES_STRESS', 'MIN_VON_MISES_STRESS'], \n",
        "      dtype='|S20')"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "eng_strain_Y = time_steps*0.001/1.0e-8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(eng_strain_Y,data_vars[-2],eng_strain_Y,data_vars[-1]);\n",
      "plt.ylabel(\"Max/Min von Mises Stress\");"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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6GhMmTICPjw8SEhIwe/ZsBAa2fVtpUVERgoODtcsymQyHDx9utc6ZM2egVCox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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10a049e50>"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "rm ViscoPlasticNeedlemanFullyPrescribedTension_WithFlaw.txt temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 29
    }
   ],
   "metadata": {}
  }
 ]
}